/**
 * Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

// Raw data (in Apache Arrow format) for a dataframe
// that uses `Float64Index` for both `index` and `columns` attributes.
//
// pd.DataFrame(
//     [[1.2, 1.3], [1.4, 1.5]],
//     index=pd.Float64Index([1.24, 2.35]),
//     columns=pd.Float64Index([1.24, 2.35]),
// )

export const FLOAT64 = new Uint8Array([
  255, 255, 255, 255, 112, 3, 0, 0, 16, 0, 0, 0, 0, 0, 10, 0, 14, 0, 6, 0, 5,
  0, 8, 0, 10, 0, 0, 0, 0, 1, 4, 0, 16, 0, 0, 0, 0, 0, 10, 0, 12, 0, 0, 0, 4,
  0, 8, 0, 10, 0, 0, 0, 140, 2, 0, 0, 4, 0, 0, 0, 1, 0, 0, 0, 12, 0, 0, 0, 8,
  0, 12, 0, 4, 0, 8, 0, 8, 0, 0, 0, 100, 2, 0, 0, 4, 0, 0, 0, 86, 2, 0, 0, 123,
  34, 105, 110, 100, 101, 120, 95, 99, 111, 108, 117, 109, 110, 115, 34, 58,
  32, 91, 34, 95, 95, 105, 110, 100, 101, 120, 95, 108, 101, 118, 101, 108, 95,
  48, 95, 95, 34, 93, 44, 32, 34, 99, 111, 108, 117, 109, 110, 95, 105, 110,
  100, 101, 120, 101, 115, 34, 58, 32, 91, 123, 34, 110, 97, 109, 101, 34, 58,
  32, 110, 117, 108, 108, 44, 32, 34, 102, 105, 101, 108, 100, 95, 110, 97,
  109, 101, 34, 58, 32, 110, 117, 108, 108, 44, 32, 34, 112, 97, 110, 100, 97,
  115, 95, 116, 121, 112, 101, 34, 58, 32, 34, 102, 108, 111, 97, 116, 54, 52,
  34, 44, 32, 34, 110, 117, 109, 112, 121, 95, 116, 121, 112, 101, 34, 58, 32,
  34, 102, 108, 111, 97, 116, 54, 52, 34, 44, 32, 34, 109, 101, 116, 97, 100,
  97, 116, 97, 34, 58, 32, 110, 117, 108, 108, 125, 93, 44, 32, 34, 99, 111,
  108, 117, 109, 110, 115, 34, 58, 32, 91, 123, 34, 110, 97, 109, 101, 34, 58,
  32, 34, 49, 46, 50, 52, 34, 44, 32, 34, 102, 105, 101, 108, 100, 95, 110, 97,
  109, 101, 34, 58, 32, 34, 49, 46, 50, 52, 34, 44, 32, 34, 112, 97, 110, 100,
  97, 115, 95, 116, 121, 112, 101, 34, 58, 32, 34, 102, 108, 111, 97, 116, 54,
  52, 34, 44, 32, 34, 110, 117, 109, 112, 121, 95, 116, 121, 112, 101, 34, 58,
  32, 34, 102, 108, 111, 97, 116, 54, 52, 34, 44, 32, 34, 109, 101, 116, 97,
  100, 97, 116, 97, 34, 58, 32, 110, 117, 108, 108, 125, 44, 32, 123, 34, 110,
  97, 109, 101, 34, 58, 32, 34, 50, 46, 51, 53, 34, 44, 32, 34, 102, 105, 101,
  108, 100, 95, 110, 97, 109, 101, 34, 58, 32, 34, 50, 46, 51, 53, 34, 44, 32,
  34, 112, 97, 110, 100, 97, 115, 95, 116, 121, 112, 101, 34, 58, 32, 34, 102,
  108, 111, 97, 116, 54, 52, 34, 44, 32, 34, 110, 117, 109, 112, 121, 95, 116,
  121, 112, 101, 34, 58, 32, 34, 102, 108, 111, 97, 116, 54, 52, 34, 44, 32,
  34, 109, 101, 116, 97, 100, 97, 116, 97, 34, 58, 32, 110, 117, 108, 108, 125,
  44, 32, 123, 34, 110, 97, 109, 101, 34, 58, 32, 110, 117, 108, 108, 44, 32,
  34, 102, 105, 101, 108, 100, 95, 110, 97, 109, 101, 34, 58, 32, 34, 95, 95,
  105, 110, 100, 101, 120, 95, 108, 101, 118, 101, 108, 95, 48, 95, 95, 34, 44,
  32, 34, 112, 97, 110, 100, 97, 115, 95, 116, 121, 112, 101, 34, 58, 32, 34,
  102, 108, 111, 97, 116, 54, 52, 34, 44, 32, 34, 110, 117, 109, 112, 121, 95,
  116, 121, 112, 101, 34, 58, 32, 34, 102, 108, 111, 97, 116, 54, 52, 34, 44,
  32, 34, 109, 101, 116, 97, 100, 97, 116, 97, 34, 58, 32, 110, 117, 108, 108,
  125, 93, 44, 32, 34, 99, 114, 101, 97, 116, 111, 114, 34, 58, 32, 123, 34,
  108, 105, 98, 114, 97, 114, 121, 34, 58, 32, 34, 112, 121, 97, 114, 114, 111,
  119, 34, 44, 32, 34, 118, 101, 114, 115, 105, 111, 110, 34, 58, 32, 34, 52,
  46, 48, 46, 48, 34, 125, 44, 32, 34, 112, 97, 110, 100, 97, 115, 95, 118,
  101, 114, 115, 105, 111, 110, 34, 58, 32, 34, 49, 46, 50, 46, 52, 34, 125, 0,
  0, 6, 0, 0, 0, 112, 97, 110, 100, 97, 115, 0, 0, 3, 0, 0, 0, 128, 0, 0, 0,
  64, 0, 0, 0, 4, 0, 0, 0, 156, 255, 255, 255, 0, 0, 1, 3, 16, 0, 0, 0, 36, 0,
  0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0, 95, 95, 105, 110, 100, 101, 120,
  95, 108, 101, 118, 101, 108, 95, 48, 95, 95, 0, 0, 0, 154, 255, 255, 255, 0,
  0, 2, 0, 212, 255, 255, 255, 0, 0, 1, 3, 16, 0, 0, 0, 24, 0, 0, 0, 4, 0, 0,
  0, 0, 0, 0, 0, 4, 0, 0, 0, 50, 46, 51, 53, 0, 0, 0, 0, 198, 255, 255, 255, 0,
  0, 2, 0, 16, 0, 20, 0, 8, 0, 6, 0, 7, 0, 12, 0, 0, 0, 16, 0, 16, 0, 0, 0, 0,
  0, 1, 3, 16, 0, 0, 0, 28, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 49,
  46, 50, 52, 0, 0, 6, 0, 8, 0, 6, 0, 6, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 255,
  255, 255, 255, 232, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 12, 0, 22, 0, 6, 0, 5,
  0, 8, 0, 12, 0, 12, 0, 0, 0, 0, 3, 4, 0, 24, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0,
  0, 0, 0, 10, 0, 24, 0, 12, 0, 4, 0, 8, 0, 10, 0, 0, 0, 124, 0, 0, 0, 16, 0,
  0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16,
  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16, 0,
  0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0,
  0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 2, 0, 0, 0,
  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
  0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51, 51, 51, 51, 51, 51,
  243, 63, 102, 102, 102, 102, 102, 102, 246, 63, 205, 204, 204, 204, 204, 204,
  244, 63, 0, 0, 0, 0, 0, 0, 248, 63, 215, 163, 112, 61, 10, 215, 243, 63, 205,
  204, 204, 204, 204, 204, 2, 64, 255, 255, 255, 255, 0, 0, 0, 0,
])
